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Non-linearity and EFA

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Single component elution in HPLC-DAD system. 20% non-linearity. Ideal. Non-linear. Ideal ... Indeed it is often but not always the case for sequential elution. ... – PowerPoint PPT presentation

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Title: Non-linearity and EFA


1
Non-linearity and EFA
2
Single component elution in HPLC-DAD system
20 non-linearity
3
Ideal
Non-linear
4
Spectra in two dimensional wavelength space
475-500 nm
Ideal
Non-linear
5
Spectra in two dimensional wavelength space
495-500 nm
Ideal
Non-linear
6
Evolving Factor Analysis (EFA)
Ideal
Non-linear
7
Evolving Factor Analysis (EFA)
Ideal
Non-linear
8
Embedded elution and EFA
9
Consecutive elution
tm1 40, tm260
w1 11, w28.5
10
HPLC-DAD data
11
Ebedded elution
tm1 50, tm257
w1 12, w26.5
12
HPLC-DAD data
13
EFA
Consecutive elution
Embedded elution
14
EFA
Consecutive elution
Embedded elution
15
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The main assumption of EFA is that the component,
which appears first, will disappear first. Indeed
it is often but not always the case for
sequential elution.
The main question is which end belongs to which
start?
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Exhaustive Evolving Factor Analysis
E-EFA analyzes all possible sub-matrices of the
measured matrix, which are combined by the two
outsides submatrices of a selected window, and an
apparent difference is found between the similar
results that are obtained by the traditional EFA.
19
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
20
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
21
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
22
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
23
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
24
Exhaustive Evolving Factor Analysis
Rank 1
Rank 1
25
Exhaustive Evolving Factor Analysis
Rank 0
Rank 0
26
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
27
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
28
Exhaustive Evolving Factor Analysis
Rank 2
Rank 2
29
Exhaustive Evolving Factor Analysis
Rank 1
Rank 2
30
Exhaustive Evolving Factor Analysis
Rank 1
Rank 2
31
Exhaustive Evolving Factor Analysis
Rank 1
Rank 1
32
Sectional Moving Window Factor Analysis (SMWFA)
is a fast, friendly and useful for automatic
resolution of hyphenated chromatographic data.
33
Sectional Moving Window Factor Analysis
34
SMWFA.m file For sectional moving window factor
analysis of two component systems
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Use the SMWFA.m file and investigate the effects
of noise values on HPLC-DAD data in embedded
elution systems.
50
Rank Deficiency and EFA
51
Rank deficiency in a system with two independent
chemical processes
52
HB B- Ct2
Ct1 a Ct2
HA A- a (HB B-)
53









54
Augmentation

55
1 2 3
3 2 1
2 4 6
6 4 2
1 2 3
3 2 1
0 0 0
0 0 0
56
1 2 3
3 2 1
4 4 4


1 2 3
3 2 1
4 4 4
2 4 6
6 4 2
8 8 8


0 0 0
0 0 0
0 0 0
57
pKa14
pKa2.5
pKa26
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Forward and backward eigen analysis
60
EFA Results
61
standard
Augmentation
mixture
62
standard
mixture
Forward Analysis
standard
mixture
Backward Analysis
63
Forward and backward eigen analysis
standard
mixture
64
EFA Results
standard
mixture
65
Concentration Profiles
standard
mixture
66
mixture
Augmentation
standard
67
standard
mixture
Forward Analysis
standard
mixture
Backward Analysis
68
Forward and backward eigen analysis
standard
mixture
69
EFA Results
standard
mixture
70
Concentration Profiles
standard
mixture
71
standard
mixture
Forward Analysis
standard
mixture
Backward Analysis
72
Forward and backward eigen analysis
73
Forward and backward eigen analysis
74
Mixture of H2A and H2B
75
H2A
pKa12
pKa23
76
H2B
pKa14.5
pKa26.5
77
EFARD.m file EFA on data with rank deficiency
78
Outputs of EFARD.m
79
Outputs of EFARD.m
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